Apr 2024 – Sep 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

• Contributed to building AROM, Angel One’s scalable and high-performance order & risk management platform, serving as PoC for AMX–AROM and Omnesys–AROM integrations. Designed and implemented core systems like the CPP Forward Flow Layer, Order State Machine, and MPM Feed Consumers to enable real-time order flow and state tracking. Delivered critical margin platform features including Market Protection Price (MPP), Cash & F&O Interop, BSE Stock Derivatives, and Pledge FMEA integration, while also contributing to infra libraries such as Span Library, Scrip Master Poller, Config Management, and Gin Rate Limiter Middleware to improve cross-team reusability.
• Enhanced system efficiency and reliability by reducing S3 timeouts (via VPC endpoint), halving deployment times with Go’s errgroup, and implementing crash-safe async flows. Ensured 99.99% uptime with <5 min MTTD and drove zero critical incidents during AROM rollout through proactive monitoring, metrics, and alerting. Maintained a zero change failure rate via structured testing, validation pipelines, and rigorous release practices, while also collaborating with Product, QA, and FE teams to unblock dependencies and ensure smooth launches. Additionally, contributed to shared backend libraries (rate-limiter, gatekeeper, config tooling), boosting backend velocity and engineering standardization.

Jun 2022 – Mar 2024 · 1 yr 9 mos · Bengaluru, Karnataka, India · Hybrid

• Architected and scaled backend systems powering Angel One’s trading platforms. Built a Kafka consumer pipeline for Margin Maker, enabling batching and concurrent processing to sustain 15k+ TPS at peak. Scaled Margin Service APIs to handle 5k+ TPS each, serving a client base of 3Cr+ users with consistent <1s latency. Designed and implemented a cross-region disaster recovery framework with zero data loss guarantees.
• Led development of IPO V2 backend modules including ASBA integration, token caching, push notifications, and BSE callback handling. Improved observability and reliability of AMX systems with alerting, retry mechanisms, and resilient designs. Consistently ensured 99.99% uptime, <30 min MTTR, and zero rollback releases across production systems.

Jan 2022 – Jun 2022 · 5 mos

• Paytm Money, is a wholly owned subsidiary of Paytm, which is one of the largest investment and wealth management app which has more than 6 million downloads all over India.
• In Paytm Money, I worked as a SDE Intern (Backend) in the Data & Discovery Team which is the central hub for providing the required data and search facilities to the end user. During my tenure, I got a chance to work on different microservices that are maintained by the team which are used daily by millions of users in scale. I worked on developing new features and solving bugs for the existing projects to enhance the user experience.
• As a part of the internship, I am primarily involved in the following projects :-
• 👉 Multi Lingual Data Search Engine: A Data Search Engine Designed to support autocomplete search related to stocks which supports 11 different languages.
• 👉 Data Feed Mux : A Data Feed Multiplexer which acts as a proxy between the user application and Exchange Server to subscribe and publish the data packets related to stocks in real time with the help of web sockets.
• 👉 ElastAlerts : An Alert System which is responsible to send the slack notifications to particular channels when there is any detection of spike in the requests, error messages occurred by continuously analyzing the logs stored in the index of elastic search.
• 👉 Data Periscope : An Internal Data API Service which is used to send the stock information data to various internal teams ( Eg: Customer Service team ) in Paytm Money
• In my internship period, I solved critical bugs and developed new features to the above mentioned projects as per the business needs from the product team.

Feb 2021 – Dec 2021 · 10 mos

• ✔ Working on SonyLiv Recommendation Engine to create a pipeline that is scaled to millions of users.
• ✔ Handled Complex Queries and Preprocessed the Data using AWS Athena and Glue and loaded it into S3.
• ✔ Created secure API’s using Serverless Architecture and leveraged monitoring system for health checks to maintain the flow.

Feb 2021 – Apr 2021 · 2 mos

• ✔Accepted as one of the 150 Fellows out of 43000 applications, in the highly competitive MLH Fellowship Program
• ✔Explored and learned new tools and technologies by building real-world projects collaboratively with fellows around the globe
• ✔Conducted workshops/Show and tells on technical and non-technical topics for community members.
• ✔ Won Orientation Hackathon by developing the PodFolio Website using Jekyll and Deployed using Github Pages.
• ✔ Some of the Open Sourced projects made along with the teammates are TorchBlaze, CryptoDrive, TicTacChain, and Won 2 Sprint Hackathons.
• ✔Conducted a workshop on AWS Serverless, to create microservices using Lambda, DynamoDB, API Gateway, and AWS S3 which helped my pod mates to build APIs in AWS Easily for their future projects.
• ✔ Contributed to few Open Sourced Projects in Retrospective weeks by applying the feedback received on the previous projects.
• ✔ In the last week "CTF week" Solved CTFs along with teammates by learning Networking and file systems along with Cryptography and how to approach different kinds of CTFs like Reverse Engineering, Web Vulnerability, Binary Exploitation, OSINT, Forensics, Steganography, and Cryptography and Secured 3rd rank amongst 30+ teams.

Dec 2020 – Mar 2021 · 3 mos

• Winter of Code is an open-source program envisioned by DevScript that helps understand the paradigm of Open Source contribution. It aims to bring students into the world of open source development and see the power of unified problem-solving in real-time. As a Project Administrator, I have been working on:
• Mentoring for one Project: Tensorgram
• Managing Issues, reviewing Pull Requests, and providing Change Requests.
• Mentoring Student Developers to get acquainted with Open-Source Development.
• Managing and Administering the Project and Development Workflow.

Oct 2020 – Nov 2020 · 1 mo · Remote

• ✔ Scaffolded a Car Recommendation Engine in an eCommerce Module
• for 8000+ Cars.
• ✔ Performed Data Preprocessing by collecting raw data from 10+
• websites.
• ✔ Implemented KPrototype Clustering and Image-based Similarity with
• VGG16 model.
• ✔ Created an Asynchronous Website, RestAPI using Flask, AJAX and
• Configured Cloud Development Solutions using Scaleway Cloud EC2
• Instance

Aug 2020 – Sep 2020 · 1 mo · Remote

• ✔ Developed a Web Application for detecting the Yoga Poses using
• Flask.
• ✔ Used ML5.js and P5.js for getting the positions of poses in the image.
• ✔ Classified the positions of poses using KNN Classifier and achieved
• 85 percent test accuracy.
• ✔ Deployed the Application using Heroku Cloud Service